See also LSTM: Long Short-Term Memory for Captioning, Image Captioning.

See also Captioning, Image Captioning.

*Liu, Q.S.[Qing-Shan]*,
*Zhou, F.[Feng]*,
*Hang, R.[Renlong]*,
*Yuan, X.T.[Xiao-Tong]*,

**Bidirectional-Convolutional LSTM Based Spectral-Spatial Feature
Learning for Hyperspectral Image Classification**,

*RS(9)*, No. 12, 2017, pp. xx-yy.

DOI Link
**1802**

BibRef

*Xu, Y.H.[Yong-Hao]*,
*Zhang, L.P.[Liang-Pei]*,
*Du, B.[Bo]*,
*Zhang, F.[Fan]*,

**Spectral-Spatial Unified Networks for Hyperspectral Image
Classification**,

*GeoRS(56)*, No. 10, October 2018, pp. 5893-5909.

IEEE DOI
**1810**

Feature extraction, Iron, Training, Logic gates,
Hyperspectral imaging,
long short-term memory (LSTM)

See also Spectral-Spatial Classification of Hyperspectral Imagery with Cooperative Game.
BibRef

*Kim, H.I.*,
*Park, R.H.*,

**Residual LSTM Attention Network for Object Tracking**,

*SPLetters(25)*, No. 7, July 2018, pp. 1029-1033.

IEEE DOI
**1807**

learning (artificial intelligence), object tracking,
ImageNet large scale visual recognition competition 2016,
visual tracking
BibRef

*Hua, Y.S.[Yuan-Sheng]*,
*Mou, L.C.[Li-Chao]*,
*Zhu, X.X.[Xiao Xiang]*,

**Recurrently exploring class-wise attention in a hybrid convolutional
and bidirectional LSTM network for multi-label aerial image
classification**,

*PandRS(149)*, 2019, pp. 188-199.

Elsevier DOI
**1903**

Multi-label classification, High-resolution aerial image,
Convolutional Neural Network (CNN) l Class Attention Learning,
Class dependency
BibRef

*Qi, W.C.[Wen-Chao]*,
*Zhang, X.[Xia]*,
*Wang, N.[Nan]*,
*Zhang, M.[Mao]*,
*Cen, Y.[Yi]*,

**A Spectral-Spatial Cascaded 3D Convolutional Neural Network with a
Convolutional Long Short-Term Memory Network for Hyperspectral Image
Classification**,

*RS(11)*, No. 20, 2019, pp. xx-yy.

DOI Link
**1910**

BibRef

*Ma, C.[Chao]*,
*Guo, Y.L.[Yu-Lan]*,
*Yang, J.G.[Jun-Gang]*,
*An, W.[Wei]*,

**Learning Multi-View Representation With LSTM for 3-D Shape
Recognition and Retrieval**,

*MultMed(21)*, No. 5, May 2019, pp. 1169-1182.

IEEE DOI
**1905**

convolutional neural nets, feature extraction,
image classification, image representation, image retrieval,
LSTM
BibRef

*Liu, Y.[Yong]*,
*Hao, X.[Xin]*,
*Zhang, B.[Biling]*,
*Zhang, Y.Y.[Yu-Yan]*,

**Simplified long short-term memory model for robust and fast
prediction**,

*PRL(136)*, 2020, pp. 81-86.

Elsevier DOI
**2008**

BibRef

*Mei, S.H.[Shao-Hui]*,
*Ji, J.Y.[Jing-Yu]*,
*Hou, J.H.[Jun-Hui]*,
*Li, X.[Xu]*,
*Du, Q.[Qian]*,

**Learning Sensor-Specific Spatial-Spectral Features of Hyperspectral
Images via Convolutional Neural Networks**,

*GeoRS(55)*, No. 8, August 2017, pp. 4520-4533.

IEEE DOI
**1708**

Feature extraction, Hyperspectral imaging, Image sensors,
Machine learning, Principal component analysis, Sensors,
convolutional neural network (CNN),
feature learning, hyperspectral, spatial-spectral
BibRef

*Hu, W.S.[Wen-Shuai]*,
*Li, H.C.[Heng-Chao]*,
*Pan, L.[Lei]*,
*Li, W.[Wei]*,
*Tao, R.[Ran]*,
*Du, Q.[Qian]*,

**Spatial-Spectral Feature Extraction via Deep ConvLSTM Neural Networks
for Hyperspectral Image Classification**,

*GeoRS(58)*, No. 6, June 2020, pp. 4237-4250.

IEEE DOI
**2005**

Classification,
convolutional long short-term memory (ConvLSTM), deep learning,
hyperspectral image (HSI)
BibRef

*Jain, M.[Monika]*,
*Subramanyam, A.V.*,
*Denman, S.[Simon]*,
*Sridharan, S.[Sridha]*,
*Fookes, C.[Clinton]*,

**LSTM guided ensemble correlation filter tracking with appearance
model pool**,

*CVIU(195)*, 2020, pp. 102935.

Elsevier DOI
**2005**

LSTM, Correlation filter, Object tracking,
Convolutional neural network, Appearance model pool, CNN feature aggregation
BibRef

*Zhang, X.[Xin]*,
*Wang, Y.C.[Yong-Cheng]*,
*Zhang, N.[Ning]*,
*Xu, D.D.[Dong-Dong]*,
*Luo, H.Y.[Hui-Yuan]*,
*Chen, B.[Bo]*,
*Ben, G.L.[Guang-Li]*,

**Spectral-Spatial Fractal Residual Convolutional Neural Network With
Data Balance Augmentation for Hyperspectral Classification**,

*GeoRS(59)*, No. 12, December 2021, pp. 10473-10487.

IEEE DOI
**2112**

Feature extraction, Hyperspectral imaging, Fractals, IP networks,
Data mining, Deep learning, Convolutional neural networks,
deep learning
BibRef

Springer DOI

BibRef

*Garcea, F.[Fabio]*,
*Cucco, A.[Alessandro]*,
*Morra, L.[Lia]*,
*Lamberti, F.[Fabrizio]*,

**Object Tracking Through Residual and Dense LSTMS**,

*ICIAR20*(II:100-111).

Springer DOI
**2007**

BibRef

*Du, Y.*,
*Yan, Y.*,
*Chen, S.*,
*Hua, Y.*,
*Wang, H.*,

**Object-Adaptive LSTM Network for Visual Tracking**,

*ICPR18*(1719-1724)

IEEE DOI
**1812**

Proposals, Target tracking, Visualization, Object tracking,
Logic gates, Training
BibRef

*Liang, Y.*,
*Zhou, Y.*,

**LSTM Multiple Object Tracker Combining Multiple Cues**,

*ICIP18*(2351-2355)

IEEE DOI
**1809**

multiple object tracking, Long Short Term Memory,
temporally correlated feature learning
BibRef

*Chen, C.*,
*Lin, X.*,
*Terejanu, G.*,

**An Approximate Bayesian Long Short-Term Memory Algorithm for Outlier
Detection**,

*ICPR18*(201-206)

IEEE DOI
**1812**

Uncertainty, Bayes methods, Kalman filters, Logic gates,
Artificial neural networks, Estimation
BibRef

*Chen, K.*,
*Huang, L.*,
*Li, M.*,
*Zeng, X.*,
*Fan, Y.*,

**A Compact and Configurable Long Short-Term Memory Neural Network
Hardware Architecture**,

*ICIP18*(4168-4172)

IEEE DOI
**1809**

Hardware, Parallel processing, Logic gates,
Recurrent neural networks, Computational modeling,
Configurable Hardware Architecture
BibRef

*Roy, A.*,
*Todorovic, S.*,

**Learning to Learn Second-Order Back-Propagation for CNNs Using LSTMs**,

*ICPR18*(97-102)

IEEE DOI
**1812**

Neurons, Convergence, Standards, Linear programming, Optimization,
Training, Neural networks
BibRef

*Ouyang, X.*,
*Zhang, X.*,
*Ma, D.*,
*Agam, G.*,

**Generating Image Sequence from Description with LSTM Conditional GAN**,

*ICPR18*(2456-2461)

IEEE DOI
**1812**

Generators, Semantics, Image generation, Training,
Logic gates, Neural networks
BibRef

*Goswami, D.[Debanjan]*,
*Chakraborty, S.[Shayok]*,

**Active Batch Sampling for Multi-label Classification with Binary User
Feedback**,

*WACV24*(2522-2531)

IEEE DOI
**2404**

Machine learning algorithms, Annotations, Training data,
Artificial neural networks, Manuals, Machine learning, Algorithms,
Image recognition and understanding
BibRef

*Ranganathan, H.*,
*Venkateswara, H.*,
*Chakraborty, S.*,
*Panchanathan, S.*,

**Multi-Label Deep Active Learning with Label Correlation**,

*ICIP18*(3418-3422)

IEEE DOI
**1809**

Correlation, Training, Entropy, Data models, Uncertainty,
Computational modeling, Linear programming, Deep Active Learning, LSTM
BibRef

*Huang, Y.[Yan]*,
*Wang, W.[Wei]*,
*Wang, L.[Liang]*,

**Instance-Aware Image and Sentence Matching with Selective Multimodal
LSTM**,

*CVPR17*(7254-7262)

IEEE DOI
**1711**

Aggregates, Detectors, Image color analysis,
Pattern recognition, Roads
BibRef

*Liang, X.D.[Xiao-Dan]*,
*Lin, L.[Liang]*,
*Shen, X.H.[Xiao-Hui]*,
*Feng, J.S.[Jia-Shi]*,
*Yan, S.C.[Shui-Cheng]*,
*Xing, E.P.[Eric P.]*,

**Interpretable Structure-Evolving LSTM**,

*CVPR17*(2175-2184)

IEEE DOI
**1711**

Correlation, Data models, Merging, Periodic structures,
Stochastic processes, Topology
BibRef

*Wang, Z.*,
*Chen, T.*,
*Li, G.*,
*Xu, R.*,
*Lin, L.*,

**Multi-label Image Recognition by Recurrently Discovering Attentional
Regions**,

*ICCV17*(464-472)

IEEE DOI
**1802**

feature extraction, image recognition,
learning (artificial intelligence), LSTM sub-network, VOC,
Semantics
BibRef

*Li, Q.*,
*Zhao, X.*,
*Huang, K.*,

**Learning temporally correlated representations using LSTMS for visual
tracking**,

*ICIP16*(1614-1618)

IEEE DOI
**1610**

Correlation
BibRef

*Rajagopalan, S.S.[Shyam Sundar]*,
*Morency, L.P.[Louis-Philippe]*,
*Baltrusaitis, T.[Tadas]*,
*Goecke, R.[Roland]*,

**Extending Long Short-Term Memory for Multi-View Structured Learning**,

*ECCV16*(VII: 338-353).

Springer DOI
**1611**

BibRef

*Weber, M.[Markus]*,
*Liwicki, M.[Marcus]*,
*Stricker, D.[Didier]*,
*Scholzel, C.[Christopher]*,
*Uchida, S.[Seiichi]*,

**LSTM-Based Early Recognition of Motion Patterns**,

*ICPR14*(3552-3557)

IEEE DOI
**1412**

LSTM: Long Short-Term Memory.
Accuracy
BibRef

Chapter on Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms continues in

Neural Networks .

Last update:Sep 15, 2024 at 16:30:49